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科研机构
自动化研究所 [14]
内容类型
期刊论文 [13]
会议论文 [1]
发表日期
2019 [14]
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发表日期:2019
专题:自动化研究所
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A Learning-Based Framework for Error Compensation in 3D Printing
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
作者:
Shen, Zhen
;
Shang, Xiuqin
;
Zhao, Meihua
;
Dong, Xisong
;
Xiong, Gang
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2019/12/16
3D printing
additive manufacturing
cyber-physical system (CPS)
deep learning
error compensation
An Enhanced Feature Pyramid Object Detection Network for Autonomous Driving
期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 15
作者:
Wu, Yutian
;
Tang, Shuming
;
Zhang, Shuwei
;
Ogai, Harutoshi
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/03/30
object detection
feature pyramid network
feature recalibration
context embedding
autonomous driving systems
augmented reality
Automatic precision robot assembly system with microscopic vision and force sensor
期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 3, 页码: 15
作者:
Ma, Yanqin
;
Du, Kai
;
Zhou, Dongfeng
;
Zhang, Juan
;
Liu, Xilong
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2019/09/30
Grasping
aligning
visual servoing
precision assembly
robot system
Forecasting horticultural products price using ARIMA model and neural network based on a large-scale data set collected by Web crawler
期刊论文
IEEE Transactions on Computational Social Systems, 2019, 卷号: 6, 期号: 3, 页码: 547-553
作者:
Weng, Yuchen
;
Wang, Xiujuan
;
Kang, Mengzhen
;
Hua, Jing
;
Wang, Fei-yue
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/06/08
Web crawler
cucumber
agricultural CPSS framework
ARIMA model
neural network
price forecasting
Iterative Relaxed Collaborative Representation With Adaptive Weights Learning for Noise Robust Face Hallucination
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 5, 页码: 1284-1295
作者:
Liu, Licheng
;
Li, Shutao
;
Chen, C. L. Philip
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  |  
浏览/下载:50/0
  |  
提交时间:2019/07/12
Relaxed collaborative representation
face hallucination
locality regularization
adaptively weights learning
noise robust coding
Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1076-1087
作者:
Niu, Ben
;
Wang, Ding
;
Alotaibi, Naif D.
;
Alsaadi, Fuad E.
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2019/12/16
Adaptive tracking control
average dwell time (ADT)
neural networks (NNs)
nonstrict-feedback structure
stochastic nonlinear systems
switched nonlinear systems
Finite-Time Convergence Adaptive Fuzzy Control for Dual-Arm Robot With Unknown Kinematics and Dynamics
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 3, 页码: 574-588
作者:
Yang, Chenguang
;
Jiang, Yiming
;
Na, Jing
;
Li, Zhijun
;
Cheng, Long
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  |  
浏览/下载:70/0
  |  
提交时间:2019/07/12
Dual-arm robots
finite-time (FT) convergence
fuzzy logic system (FLS)
uncertain kinematics
Semi-supervised Ladder Networks for Speech Emotion Recognition
期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 437-448
作者:
Tao, Jianhua
;
Huang, Jian
;
Li, Ya
;
Lian, Zheng
;
Niu, Mingyue
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/06/20
Speech emotion recognition
the ladder network
semi-supervised learning
autoencoder
regularization
A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm
期刊论文
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 页码: 12
作者:
Zhang, Shunchao
;
Wang, Yonghua
;
Li, Jiangfan
;
Wan, Pin
;
Zhang, Yongwei
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2019/07/12
Cooperative spectrum sensing
Information geometry
Decomposition and recombination
Fuzzy c-means clustering algorithm
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 295-305
作者:
Liu, Yan-Jun
;
Li, Shu
;
Tong, Shaocheng
;
Chen, C. L. Philip
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2019/07/12
Discrete-time systems
neural networks (NNs)
nonlinear systems
optimal control
reinforcement learning
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